Chaitanya Dwivedi

According to our database, Chaitanya Dwivedi authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts.

Chaitanya Dwivedi, Binxuan Huang, Himanshu Gupta, Pratik Jayarao, Neeraj Varshney, Bing Yin

CoRR, April, 2026

Code Mixologist : A Practitioner's Guide to Building Code-Mixed LLMs.

Himanshu Gupta, Pratik Jayarao, Chaitanya Dwivedi, Neeraj Varshney

CoRR, February, 2026

2025

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness.

Pratik Jayarao, Himanshu Gupta, Neeraj Varshney, Chaitanya Dwivedi

CoRR, September, 2025

Intelligent Sampling for Predicting the Performance of Hub-based Swarms.

Puneet Jain, Chaitanya Dwivedi, Michael A. Goodrich

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

2024

Performance Prediction of Hub-Based Swarms.

Puneet Jain, Chaitanya Dwivedi, Vigynesh Bhatt, Nick Smith, Michael A. Goodrich

CoRR, 2024

2023

Personalized Dense Retrieval on Global Index for Voice-enabled Conversational Systems.

Masha Belyi, Charlotte Dzialo, Chaitanya Dwivedi, Prajit Muppidi, Kanna Shimizu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

Multi stain graph fusion for multimodal integration in pathology.

Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep kernels with probabilistic embeddings for small-data learning.

Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.

Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han

CoRR, 2020

2019

Deep Probabilistic Kernels for Sample-Efficient Learning.

Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han

CoRR, 2019

2018

Keystroke dynamics based biometric authentication: A hybrid classifier approach.

Chaitanya Dwivedi, Divyanshu Kalra, Divesh Naidu, Swati Aggarwal

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018